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Table 1 Sample descriptive statistics

From: Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults

 

SZ (n=40)

HC (n=12)

  

Variable

Mean

(SD)

Mean

(SD)

T-score (df=50)

p-valueb

Age

46.10

12.41

43.33

13.22

0.67

0.510

Age of Onset

20.84

6.70

-

-

  

Hospitalizations (#)

13.77

25.08

-

-

  

PANSS total

56.87

13.22

-

-

  

   Positive

16.20

5.80

-

-

  

   Negative

13.07

4.78

-

-

  

   General

27.60

7.18

-

-

  

Antipsychotic CPZ Eq

578.81

404.73

-

-

  

 Antipsychotic Any

37 of 40

-

-

-

  

 Traditional only

9 of 37

-

-

-

  

 Atypical only

25 of 37

-

-

-

  

SWMT total

63.33

11.02

75.58

7.62

3.59

0.001

WTAR FSIQ

91.45

13.98

100.73

15.82

1.90

0.064

CPT-IPa

38.03

11.61

42.75

11.66

1.24

0.220

MCCB WM Compositea

37.18

10.80

46.67

8.99

2.77

0.008

 

%

 

%

 

c2 (df=1)

p-valueb

Gender (Male)

57.50

-

50.00

-

0.21

0.646

Race (Caucasian)

35.00

-

58.00

-

1.23

0.267

Handedness (Right)

85.00

-

100.00

-

2.04

0.362

  1. PANSS: Positive and Negative Syndrome Scale, CPZ Eq: chlorpromazine equivalent, SWMT: Sternberg Working Memory Task, WTAR: Wechsler Test of Adult Reading, CPT-IP: Continuous Performance Test-Identical Pairs, MCCB: MATRICS Cognitive Composite Battery
  2. a Age, education, and gender corrected t-scores reported according to MCCB normative sample
  3. b Statistic reported based on two-tailed test